MB3000ECWLQ HPE 3TB 7.2K RPM 3.5inch LFF SATA 3GBPS Midline Refurbished

Data center optimization and efficiency refer to the methods and practices used to improve the performance and utilization of a data center infrastructure while reducing costs and minimizing environmental impact. This involves maximizing the efficiency of the power, cooling, and storage resources that are used to support the data center.

When it comes to hard drives, data center optimization and efficiency can be achieved through several methods. For example:

• Implementing tiered storage - Tiered storage involves using different types of storage media with varying performance characteristics to meet the needs of different applications and workloads. By storing frequently accessed data on high-performance storage media and less frequently accessed data on lower-performance media, businesses can optimize their storage resources and reduce overall costs.
• Consolidating storage - Consolidating storage involves combining multiple storage devices into a single, unified storage pool. This can be achieved through technologies such as storage virtualization, which allows businesses to create a virtual pool of storage that can be allocated as needed to different applications and workloads. By consolidating storage, businesses can reduce costs and simplify management while improving utilization rates.
• Reducing power consumption - Hard drives can consume a significant amount of power, especially in large-scale data center environments. To reduce power consumption, businesses can implement technologies such as power management features that automatically spin down hard drives when they are not in use. This can help to reduce energy costs and improve overall efficiency.
• Improving cooling efficiency - Data centers generate a significant amount of heat, which can be harmful to hard drives and other sensitive equipment. To improve cooling efficiency, businesses can implement technologies such as liquid cooling or hot aisle/cold aisle configurations. These methods can help to reduce energy consumption and improve the reliability of hard drives and other equipment.

By optimizing their data center infrastructure and implementing efficient storage solutions, businesses can improve their performance and reduce costs while also minimizing their environmental impact.

Storage capacity planning is the process of estimating and determining the amount of storage space required for an organization's data storage needs. This involves analyzing current and future data usage patterns, business requirements, and growth projections to determine the appropriate storage capacity needed to support the organization's goals and objectives.

Storage capacity planning typically involves the following steps:

• Analyzing current data usage: This involves collecting and analyzing data on how much storage space is currently being used, what types of data are being stored, and how quickly the data is growing.
• Forecasting future data growth: Based on current data usage patterns and expected business growth, it is necessary to forecast future data growth to determine how much additional storage capacity will be needed over time.
• Identifying storage requirements: Once the amount of additional storage capacity needed has been determined, the next step is to identify the type of storage required (e.g. hard disk drives, solid-state drives, or tape backup) and the level of performance and reliability needed to support the organization's data storage needs.
• Planning for scalability: Storage capacity planning should take into account the organization's future growth projections and ensure that the storage solution chosen can be easily scaled up or down as needed.
• Budgeting and procurement: Once the storage requirements have been identified and the appropriate storage solution chosen, the organization can then budget for and procure the necessary hardware and software components.

Effective storage capacity planning is critical for ensuring that an organization's data storage needs are met both in the short and long term, while also minimizing the risk of data loss or downtime due to insufficient storage capacity. It can help organizations to optimize their storage investments, improve data management and backup processes, and ensure that critical data is always available when needed.

Backup and recovery strategies refer to the processes and procedures implemented by an organization to ensure that data is protected and can be recovered in the event of a disaster, system failure, or other unforeseen circumstances.

There are several backup and recovery strategies that can be implemented, including:

• Full Backup: A full backup involves copying all data on a system or storage device to a backup location. This strategy ensures that all data is backed up and can be restored in the event of a failure. However, it can be time-consuming and requires a large amount of storage space.
• Incremental Backup: An incremental backup involves backing up only the changes that have been made to a system or storage device since the last backup. This strategy is faster and requires less storage space than a full backup, but it can take longer to restore data in the event of a failure.
• Differential Backup: A differential backup involves backing up all changes made since the last full backup. This strategy is faster than a full backup and requires less storage space than an incremental backup. However, it can still take longer to restore data than an incremental backup.
• Cloud Backup: Cloud backup involves copying data to a cloud-based storage service. This strategy provides off-site storage and protection against disasters that can affect on-premises storage.
• Disaster Recovery Plan: A disaster recovery plan is a comprehensive strategy for recovering from a catastrophic event that affects an organization's IT infrastructure. It includes processes and procedures for restoring data and systems, as well as identifying critical applications and data that need to be restored first.

By implementing a backup and recovery strategy, organizations can ensure that they are prepared for unexpected events that can cause data loss or system downtime. It is important to regularly test backup and recovery processes to ensure that they are effective and up-to-date.

General Information

• Manufacturer : HPE
• MPN : MB3000ECWLQ
• Option Part Number: 628059-B21
• Spare Part Number: 628180-001
• Assembly Number: 695995-002
• Type : Internal Hard Disk Drive (HDD)
• SSD Type : SATA-3GBPS
• SKU : MB3000ECWLQ

Technical Information

• HDD Capacity: 3 TB
• Form Factor: 3.5 Inch LFF
• Interface: SATA-3GBPS
• Spindle Speed: 7200 RPM
• External Data Transfer Rate: 300 MBps
• Enclosure: Hot Swap
• Features: Native Command Queuing (NCQ)
• Carrier Type: Standard Carrier

Performance

• Seek Time: 8.1 ms (Average) / 15.5 ms (Max)
• Track-to-Track Seek Time: 0.5 ms

Expansion & Connectivity

• Interfaces: 1 x SATA 3 GB/S - 7 pin Serial ATA
• Compatible Bays: 3.5inch LFF

Environmental Parameters

• Min Operating Temperature: 50 °F
• Max Operating Temperature: 95 °F

Dimension and Weight

• Width : 4 Inch
• Depth : 5.8 Inch
• Height : 1 Inch
• Weight : 1.52 Lbs

Compatibility

• HPE ProLiant DL Series: DL1000 DL120 (Gen5 Gen6 Gen7) DL140 (Gen3) DL145 (Gen3) DL160 (Gen5 Gen5p Gen6 Gen7) DL160se (Gen6 Gen7) DL165 (Gen5 Gen5p Gen6 Gen7) DL170e (Gen6) DL170h (Gen6) DL2x170h (Gen6) DL4x170h (Gen6) DL180 (Gen5 Gen6 Gen7) DL185 (Gen5) DL320 (Gen3 Gen4 Gen5 Gen5p Gen6 Gen7) DL320s DL370 (Gen6 Gen7) DL380 (Gen4 Gen5 Gen6 Gen7) DL385 (Gen5 Gen5p Gen6 Gen7) DL580 (Gen4 Gen5 Gen6 Gen7) DL585 (Gen2 Gen5 Gen6 Gen7) DL785 (Gen5 Gen6)
• HPE ProLiant ML Series: ML110 (Gen7) ML150 (Gen5 Gen6 Gen7) ML310 (Gen5p) ML330 (Gen6) ML350 (Gen5 Gen6 Gen7) ML370 (Gen5 Gen6 Gen7)
• HPE Storage Systems: D2600 MDS600 MSA60 P4300 P4500 P4000 (Gen2) 60 Modular Array StoreAll 9730
• HPE StoreEasy: 1430 1440 1530 1540 1630 1640 1830 1840 5530 X1400 X1500 X1600 X1800 X3400 X3800